edaSelect: Selection Methods
Description
Methods for the edaSelect generic function.Usage
edaSelectTruncation(eda, gen, pop, popEval)
edaSelectTournament(eda, gen, pop, popEval)
Arguments
pop
Matrix with one row for each solution in the population.
popEval
Vector with the evaluation of each solution in pop.
Value
- An
integer vector with the indexes of the solutions selected
from pop.
Details
Selection methods determine the solutions to be modeled by the search
distribution (selected population). These solutions are usually the most
promising solutions of the population. The following selection methods are
implemented.[object Object],[object Object]
References
Gonz�lez-Fern�ndez Y and Soto M (2012). copulaedas: An R Package for
Estimation of Distribution Algorithms Based on Copulas. Preprint
http://arxiv.org/abs/1209.5429{arXiv:1209.5429 [cs.NE]}.Pelikan M (2005). Hierarchical Bayesian Optimization Algorithm.
Toward a New Generation of Evolutionary Algorithms. Springer-Verlag.